Lead Director, Data Science - Retail Pharmacy Analytics

• Drive and execute the short and long-term data science roadmap and vision in partnership with the professional services and Pharmacy operations business teams
• Oversee the development of analytics solutions that deploy advanced machine learning and artificial intelligence methods for a wide range of patient safety & Rx. operation analytics
• Leverage technology depth to engage with key leaders across the enterprise to identify new applications of GenAI and AgenticAI
• Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership
• Develop and mentor data scientists, contribute to their learning and training agenda, knowledge sharing, and provide input on technology stack

• 10+ years of work experience in healthcare or a related field
• In depth understanding of safety and/or operations concepts and metrics in retail
• At least 6 years of experience in a leadership role, leading Data Science teams in a product-based organization
• Demonstrated expertise in optimization techniques, GenAI, ML modeling, and statistical analysis applied to large scale prescription dispensing datasets
• Strong Python, R, and SQL skills, proficiency in working with large datasets
• Proven ability to manage multiple complex projects simultaneously in a fast-paced environment
• Excellent leadership, communication, and cross-functional collaboration skills
• Master's degree in a quantitative field such as management science, operations research, economics, statistics, engineering, data science, or computer science
• PhD degree preferred

Excellent project management skills with ability to lead and engage in multiple projects and initiatives and appropriately, prioritize her/his own time as well as that of the direct reports, and adjust priorities as needed to meet deadlines

• Affordable medical plan options
• 401(k) plan (including matching company contributions)
• Employee stock purchase plan
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
• Paid time off
• Flexible work schedules
• Family leave
• Dependent care resources
• Colleague assistance programs
• Tuition assistance
• Retiree medical access